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CrossRef Text and Data Mining |
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Denoising Autoencoder based Noise Reduction Technique for Raman Spectrometers for Standoff Detection of Chemical Warfare Agents |
Chang Sik Lee, Hyeong-Geun Yu, Jae-Hyeon Park, Whimin Kim, Dong-Jo Park, Dong Eui Chang, Hyunwoo Nam |
J. KIMS Technol. 2021;24(4):374-381. Published online August 5, 2021 DOI: https://doi.org/10.9766/KIMST.2021.24.4.374 |
Denoising Autoencoder based Noise Reduction Technique for Raman Spectrometers for Standoff Detection of Chemical Warfare Agents Image noise reduction by denoising autoencoder 2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT). 2020; On-site detection of chemical warfare agents On-Site Detection of Chemical Warfare Agents Signal‐to‐noise ratio enhancement for Raman spectra based on optimized Raman spectrometer and convolutional denoising autoencoder Deep Raman spectroscopy for the non-invasive standoff detection of concealed chemical threat agents Attention Based Convolutional Denoising Autoencoder for Two-lead ECG Denoising and Arrhythmia Classification Attention Based Convolutional Denoising Autoencoder for Two-lead ECG Denoising and Arrhythmia Classification Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction An Autoencoder based Technique for DNA Microarray Image Denoising |